Variational Autoencoders for Collaborative Filtering
We extend variational autoencoders (VAEs) to collaborative filtering for implicit feedback. This non-linear probabilistic model enables us to go beyond the limited modeling capa...
Publications
2 shownModeling User Exposure in Recommendation
Collaborative filtering analyzes user preferences for items (e.g., books, movies, restaurants, academic papers) by exploiting the similarity patterns across users. In implicit f...
Frequent Co-Authors
Researcher Info
- h-index
- 2
- Publications
- 2
- Citations
- 1,597
- Institution
- Columbia University
External Links
Identifiers
- ORCID
- 0009-0002-9701-6473
Impact Metrics
h-index
2
h-index: Number of publications with at least h citations each.